2. Which measures of central tendency can be used for the variable below? Explain why each ofthe three measures of central tendency is or is not applicable. Answer Here:How closely do you follow the news about current events? Would you say...CumulativeFrequency PercentValid Percent PercentValidMost of the time112841.941.941.9some of the time130448.448.590.4rarely2398.98.999.3never19.7.7100.0Total269099.9100.0Missing Don't Know/Refused(DON'T READ)2.1

Mode or Median are used for given data. Mean is not suitable for given data because given variable…

Answered: 2. Which measures of central tendency…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Which correlation would allows for the best prediction of Y based on X? Group of answer choices r = .50 r = .80 r = .05 r = -.90
Suppose that the correlation between height and IQ in children is +0.70. What proportion (or percent) of the variability in IQ can be explained by the relationship with height? Select one: a. 44% b. 51% c. 70% d. 49%
None
Suppose the correlation between height and weight for adults is +0.80. What proportion of the variability in weight can be explained by the relationship with height? A. 20% B. 36% C. 64% D. 80%
Assume the correlation coefficient between advertising dollars spent and sales is .78. How much of the variability in sales is explained by the relationship between sales and advertising dollars? a. 39.16% b. 60.84% c. 78% d. 22%
A2. A study of test results at different schools shows that as the student-to-teacher ratio increases the average test result tends to decrease, although the relationship is quite weak. Which of the following is plausible value for the correlation between student-to- teacher ratio and average test results? A -0.9 B -0.3 C -0.01 D 0.3 E 0.9
Which of the following must be entries from the original data set? the mode the range the third quartile the median the maximum
A recent poll of 3,107 individuals asked: "What's the longest vacation you plan to take this summer?" The following relative frequency distribution summarizes the results. Response Relative Frequency A few days 0.22 A few long weekends 0.35 0.24 0.19 One week Two weeks a-1. Construct the frequency distribution of these data. Note: Round your answers to the nearest whole number. Response A few days A few long weekends One week Two weeks Total Frequency 0 a-2. How many people are going to take a one-week vacation this summer? Note: Round your answer to the nearest whole number. Number of people b. Select a bar chart for this data. Frequency 1200 1000 800 600 400 200 Bar Chart A Frequency Bar Chart B Bar Chart C 1200 1400 1000 800 600 400 200 Frequency 1200 1000 800 600 400 200 80 0 0 0 A few days A few days A few long One week Two weeks A few days A few long One week Two weeks A few long weekends One week Two weeks weekends weekends Response Response Response
14. The range is defined as the: a. variability of the data with reference to extreme scores. b. the variability of the data with reference to the mean. c. variability of the data in terms of how many subjects achieved each value of the variable. d. SS/n
What percentage of scores fall between the mean and a z score of 1.17? Question 6 options: 6.75 percent 13.59 percent 34.13 percent 37.90 percent
The Focus Problem at the beginning of this chapter asks you to use a sign test with a 10% level of significance to test the claim that the overall temperature distribution of Madison, Wisconsin, is different (either way) from that of Juneau, Alaska. The monthly average data (in °F) are as follows. Month Jan. Feb. March April May June Madison 17.8 21.4 31.8 46.9 57.1 67.8 Juneau 22.8 27.5 31.8 38.6 46.2 52.7 Month July Aug. Sept. Oct. Nov. Dec. Madison 71.9 69.5 60.8 51.7 35.6 22.2 Juneau 55.6 54.9 49.3 41.1 32.5 26.3 (a) What is the level of significance? (b) Compute the sample test statistic. (Use 2 decimal places.) (c) Find the P-value of the sample test statistic

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